Capital One
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Sr. Distinguished Applied Researcher
role at
Capital One .
Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. We have led the industry in using machine learning to build real‑time, intelligent, automated customer experiences. From notifying customers about unusual charges to answering their questions instantly, our AI & ML applications bring humanity and simplicity to banking. We are committed to building world‑class applied science and engineering teams and continue enhancing product experiences with scalable, high‑performance AI infrastructure. You will help bring emerging AI capabilities to reimagine how we serve customers and businesses.
Team Description The AI Foundations team is at the heart of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle—from partnering with academia to building production systems. We work with product, technology, and business leaders to apply state‑of‑the‑art AI to our business.
This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a respected IC leader, you will guide and mentor applied scientists and their managers without being a direct people leader. You will be an external leader representing Capital One in the research community, collaborating with prominent faculty members in relevant AI research communities.
In this role, you will:
Partner with cross‑functional teams of data scientists, software engineers, machine learning engineers and product managers to deliver AI‑powered products that change how customers interact with their money.
Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more—to reveal insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high‑impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Translate the complexity of your work into tangible business goals.
Ideal Candidate
You love the process of analyzing and creating, but also share our passion to do the right thing.
You continually research and evaluate emerging technologies, staying current on published state‑of‑the‑art methods, technologies, and applications.
You thrive on defining big, undefined problems, asking questions and pushing for answers; you’re not afraid to share new ideas.
You challenge conventional thinking, collaborate with stakeholders to improve the status quo, and are passionate about talent development.
You are comfortable with open‑source languages, have hands‑on experience developing AI foundation models, and are eager to learn.
Deep understanding of AI methodologies; experience building large deep learning models for language, images, events, or graphs.
Expertise in at least one of training optimization, self‑supervised learning, robustness, explainability, or RLHF.
Engineering mindset with a track record of delivering models at scale in training data and inference volumes.
Experience delivering libraries, platform‑level code, or solution‑level code to existing products.
Published work or significant projects in machine learning.
Ability to own and pursue a research agenda, choosing impactful problems and carrying out long‑running projects independently.
Key Responsibilities
Partner with cross‑functional teams of scientists, machine learning engineers, software engineers, and product managers to deliver AI‑powered platforms and solutions.
Build AI foundation models through all phases of development.
Engage in high‑impact applied research to advance AI for customer experiences.
Leverage technology stack—Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs—to uncover insights from large datasets.
Translate technical complexity into tangible business goals.
Basic Qualifications
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields and at least 6 years of experience in applied research; OR M.S. with at least 8 years of experience.
Preferred Qualifications
PhD or advanced degree in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or related fields.
Experience with large language models (≥10B parameters, 500B+ tokens).
Strong publication record in ACL, NAACL, EMNLP, Neurips, ICML, ICLR related to pre‑training large language models.
Experience guiding technical direction of large‑scale model training teams.
Experience with 500+ node GPU clusters or scaling to 70B parameters and 1T+ tokens.
Knowledge of training optimization frameworks such as DeepSpeed or NeMo.
Compensation
Sales Territory: $311,900 – $356,000
Cambridge, MA: $343,100 – $391,600
McLean, VA: $343,100 – $391,600
New York, NY: $374,300 – $427,200
San Francisco, CA: $374,300 – $427,200
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Additional Information Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. We will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries.
If you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
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Sr. Distinguished Applied Researcher
role at
Capital One .
Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. We have led the industry in using machine learning to build real‑time, intelligent, automated customer experiences. From notifying customers about unusual charges to answering their questions instantly, our AI & ML applications bring humanity and simplicity to banking. We are committed to building world‑class applied science and engineering teams and continue enhancing product experiences with scalable, high‑performance AI infrastructure. You will help bring emerging AI capabilities to reimagine how we serve customers and businesses.
Team Description The AI Foundations team is at the heart of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle—from partnering with academia to building production systems. We work with product, technology, and business leaders to apply state‑of‑the‑art AI to our business.
This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a respected IC leader, you will guide and mentor applied scientists and their managers without being a direct people leader. You will be an external leader representing Capital One in the research community, collaborating with prominent faculty members in relevant AI research communities.
In this role, you will:
Partner with cross‑functional teams of data scientists, software engineers, machine learning engineers and product managers to deliver AI‑powered products that change how customers interact with their money.
Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more—to reveal insights hidden within huge volumes of numeric and textual data.
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Engage in high‑impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
Translate the complexity of your work into tangible business goals.
Ideal Candidate
You love the process of analyzing and creating, but also share our passion to do the right thing.
You continually research and evaluate emerging technologies, staying current on published state‑of‑the‑art methods, technologies, and applications.
You thrive on defining big, undefined problems, asking questions and pushing for answers; you’re not afraid to share new ideas.
You challenge conventional thinking, collaborate with stakeholders to improve the status quo, and are passionate about talent development.
You are comfortable with open‑source languages, have hands‑on experience developing AI foundation models, and are eager to learn.
Deep understanding of AI methodologies; experience building large deep learning models for language, images, events, or graphs.
Expertise in at least one of training optimization, self‑supervised learning, robustness, explainability, or RLHF.
Engineering mindset with a track record of delivering models at scale in training data and inference volumes.
Experience delivering libraries, platform‑level code, or solution‑level code to existing products.
Published work or significant projects in machine learning.
Ability to own and pursue a research agenda, choosing impactful problems and carrying out long‑running projects independently.
Key Responsibilities
Partner with cross‑functional teams of scientists, machine learning engineers, software engineers, and product managers to deliver AI‑powered platforms and solutions.
Build AI foundation models through all phases of development.
Engage in high‑impact applied research to advance AI for customer experiences.
Leverage technology stack—Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs—to uncover insights from large datasets.
Translate technical complexity into tangible business goals.
Basic Qualifications
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields and at least 6 years of experience in applied research; OR M.S. with at least 8 years of experience.
Preferred Qualifications
PhD or advanced degree in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or related fields.
Experience with large language models (≥10B parameters, 500B+ tokens).
Strong publication record in ACL, NAACL, EMNLP, Neurips, ICML, ICLR related to pre‑training large language models.
Experience guiding technical direction of large‑scale model training teams.
Experience with 500+ node GPU clusters or scaling to 70B parameters and 1T+ tokens.
Knowledge of training optimization frameworks such as DeepSpeed or NeMo.
Compensation
Sales Territory: $311,900 – $356,000
Cambridge, MA: $343,100 – $391,600
McLean, VA: $343,100 – $391,600
New York, NY: $374,300 – $427,200
San Francisco, CA: $374,300 – $427,200
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Additional Information Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. We will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries.
If you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
#J-18808-Ljbffr